A demonstration of python tools for seismic data processing and inversion
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Updated
Sep 26, 2021
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pylops
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Python library and TRIPS-Py examples for prior-normalizing (Knothe-Rosenblatt) transport maps in sparse Bayesian learning (SBL): MAP demos for 1D/2D deblurring alongside Tikhonov/GCV baselines. Companion to Glaubitz & Marzouk (2025) and the Julia reference implementation.
python image-reconstruction scientific-computing scipy regularization bayesian-inference inverse-problems variational-inference cmda hierarchical-models sparse-bayesian-learning virginia-tech deblurring map-estimation computational-statistics transport-maps pylops prior-normalization knothe-rosenblatt trips-py
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Updated
May 4, 2026 - Python
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